97 Things About Ethics Everyone in Data Science Should Know

Most of the high-profile cases of real or perceived unethical activity in data science arent matters of bad intent. Rather, they occur because the ethics simply arent thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary ConceptTim Wilson How to Approach Ethical TransparencyRado Kotorov Unbiased FairDoug Hague Rules and RationalityChristof Wolf Brenner The Truth About AI BiasCassie Kozyrkov Cautionary Ethics TalesSherrill Hayes Fairness in the Age of AlgorithmsAnna Jacobson The Ethical Data StorytellerBrent Dykes Introducing Ethicize, the Fully AI-Driven Cloud-Based Ethics Solution!Brian ONeill Be Careful with "Decisions of the Heart"Hugh Watson Understanding Passive Versus Proactive EthicsBill Schmarzo